Regression Analysis of Grouped Survival Data with Incomplete Covariates: Nonignorable Missing-Data and Censoring Mechanisms

DOI10.2307/2532794zbMath0825.62786OpenAlexW2321368685WikidataQ36728949 ScholiaQ36728949MaRDI QIDQ4842875

Stuart G. Baker

Publication date: 28 November 1995

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2532794

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)

Related Items (3)

Fitting the log‐F Accelerated Failure Time Model with Incomplete Covariate Data ⋮ Parameter estimation and inference in the linear mixed model ⋮ Maximum likelihood estimation for linear regression models with right censored outcomes and missing predictors.

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